import time
import warnings 
import matplotlib.pyplot as plt 


def timer(func):
    """
    测量执行时间
    """
    def wrapper(*args, **kwargs): 
        start_time = time.time() 
        result = func(*args, **kwargs) 
        end_time = time.time() 
        print(f"{func.__name__} took {end_time - start_time:.2f} seconds to execute.") 
        return result 
    return wrapper



def validate_input(func): 
    """
    验证函数参数，确保它们在继续计算之前符合特定的标准"""
    def wrapper(*args, **kwargs):
        valid_data = True
        # Your data validation logic here 
        if valid_data: 
            return func(*args, **kwargs) 
        else: 
            raise ValueError("Invalid data. Please check your inputs.") 
    return wrapper 


def log_results(func):
    """
    调试和监控
    """
    def wrapper(*args, **kwargs): 
        result = func(*args, **kwargs) 
        with open("results.log", "a") as log_file: 
            log_file.write(f"{func.__name__} - Result: {result}\n") 
        return result 
    return wrapper


def suppress_errors(func):
    """
    优雅地处理异常并继续执行
    """
    def wrapper(*args, **kwargs): 
        try: 
            return func(*args, **kwargs) 
        except Exception as e: 
            print(f"Error in {func.__name__}: {e}") 
            return None 
    return wrapper


def validate_output(func): 
    """
    验证函数的输出，确保它在进一步处理之前符合特定的标准
    """
    def wrapper(*args, **kwargs): 
        result = func(*args, **kwargs) 
        if valid_output(result): 
            return result 
        else: 
            raise ValueError("Invalid output. Please check your function logic.") 
    return wrapper



def retry(max_attempts, delay):
    """
    在遇到异常时重试函数执行，确保更大的弹性
    """
    def decorator(func): 
        def wrapper(*args, **kwargs): 
            attempts = 0 
            while attempts < max_attempts: 
                try: 
                    return func(*args, **kwargs) 
                except Exception as e: 
                    print(f"Attempt {attempts + 1} failed. Retrying in {delay} seconds.") 
                    attempts += 1 
                    time.sleep(delay) 
            raise Exception("Max retry attempts exceeded.") 
        return wrapper 
    return decorator

def visualize_results(func): 
    def wrapper(*args, **kwargs): 
        result = func(*args, **kwargs) 
        plt.figure() 
        # Your visualization code here 
        plt.show() 
        return result 
    return wrapper


def debug(func):
    """
    打印函数的输入参数和它们的值，以便于调试
    """
    def wrapper(*args, **kwargs): 
        print(f"Debugging {func.__name__} - args: {args}, kwargs: {kwargs}") 
        return func(*args, **kwargs) 
    return wrapper 


def deprecated(func): 
    """
    在一个函数不再被推荐时通知用户
    """
    def wrapper(*args, **kwargs): 
        warnings.warn(f"{func.__name__} is deprecated and will be removed in future versions.", DeprecationWarning) 
        return func(*args, **kwargs) 
    return wrapper 


@retry(max_attempts=3, delay=2) 
def fetch_data_from_api(api_url):
    pass # Your API data fetching code here

# def memoize(func): 
#     """
#     缓存函数结果，避免了相同输入的冗余计算，显著加快工作流程
#     """
#     cache = {} 

# def wrapper(*args): 
#         if args in cache: 
#             return cache[args] 
#         result = func(*args) 
#         cache[args] = result 
#         return result 
#     return wrapper 

# @memoize 
# def fibonacci(n): 
#     if n <= 1: 
#         return n 
#     return fibonacci(n - 1) + fibonacci(n - 2)